使用毫米波多普勒雷达进行远程血压估计的精确心脏持续时间检测
Shengze Wang1, Mondher Bouazizi2, Siyuan Yang2
1Graduate School of Science and Technology, Keio University, Yokohama 223-8522, Japan.
Sensors (Basel, Switzerland)
|February 13, 2025
概括
这项研究提出了一种新的雷达模型,通过准确检测心脏活动来无触摸地估计血压. 该系统即使在正常呼吸过程中也能实现精确的测量,为持续健康监测提供了显著的进步.
科学领域:
- 生物医学工程 生物医学工程
- 信号处理 信号处理
- 心血管技术的心血管技术
背景情况:
- 精确的血压 (BP) 监测对于心血管健康管理至关重要.
- 现有的血压测量方法通常需要身体接触或屏住呼吸,限制了持续监测.
- 对于血压估计至关重要的微妙心脏运动,由于噪音和呼吸干扰,很难用雷达检测.
研究的目的:
- 开发一种基于雷达的模型,用于无接触和连续的血压估计.
- 提高微妙心脏活动的检测,以提高血压监测的准确性.
- 克服以前基于雷达的方法的局限性,特别是呼吸和噪音的干扰.
主要方法:
- 实现从短时间里埃转换 (STFT) 获得的集成频谱波形,以捕捉微小的心脏活动.
- 隐藏的半马尔科夫模型 (HSMM) 和U-net模型用于从集成频谱中提取心脏特征的应用.
- 专注于来自高频振动的能量变化,有效过呼吸和噪音.
主要成果:
- 节拍间隔 (87.5%),静脉缩时间 (88.7%) 和腹缩时间 (73.1%) 的根平均平方误差 (RMSE) 显著减少.
- 在正常呼吸过程中实现了可比的预测准确性,与之前需要屏住呼吸的方法不同.
- 据报道,腹血压 (3.98±5.81 mmHg) 和静脉血压 (6.52±7.51 mmHg) 的低误差.
结论:
- 拟议的基于雷达的模型可以实现准确的,无触摸的血压监测.
- 集成频谱波形和先进的特征提取有效地隔离心脏信号.
- 这项技术对持续的,非侵入性的心血管健康评估具有前景.
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